A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

Batch failures in biomanufacturing are rarely unpredictable. The warning signals appear in process data long before a culture collapses or a critical quality attribute drifts out of specification, but ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Women considering breast reconstruction after mastectomy may soon have a powerful new tool to help guide their decision. Researchers have developed machine learning models that can accurately predict ...